Langflow Desktop vs LM Studio
Side-by-side comparison for macOS
Langflow Desktop
8.0Low-code AI-workflow building tool
LM Studio
8.0Discover, download, and run local LLMs
| Metric | Langflow Desktop | LM Studio |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 8.0 | 8.0 |
| 30-day Installs | 45 | 6.1K |
| 90-day Installs | 109 | 17.2K |
| 365-day Installs | 642 | 53.8K |
| Version | 1.11.0,v1.11.0 | 0.4.23,1 |
| Auto-updates | No | Yes |
| Deprecated | No | No |
| GitHub Stars | 145.5K | 136 |
| GitHub Forks | 8.5K | 28 |
| Open Issues | 896 | 2 |
| License | MIT | MIT |
| Language | Python | Python |
| Last GitHub Commit | 5mo ago | 2y ago |
| First Seen | May 26, 2025 | Jul 22, 2023 |
Reviews
Langflow Desktop
Langflow Desktop is a low-code tool for building AI workflows, offering a visual interface for creating AI agents. It's ideal for developers and data scientists looking to streamline AI application development. The open-source nature and active community contribute to its robustness.
Langflow enables users to design and deploy AI workflows visually, minimizing the need for extensive coding.
Pros
- + Low-code approach enhances accessibility
- + Open-source with active community support
- + User-friendly visual interface
Cons
- - Lacks auto-update functionality
- - High number of open issues may indicate potential instability
LM Studio
LM Studio simplifies discovering, downloading, and running local large language models, catering to developers and data privacy enthusiasts who prefer on-prem AI solutions.
LM Studio allows users to discover, download, and run local large language models.
Pros
- + Simplifies discovery and management of local LLMs
- + Supports various models and architectures
- + Auto-updates ensure the latest features and bug fixes
Cons
- - Occasional bugs reported by users
- - Primarily suited for technically inclined users